About the Company
Accenture is a global professional services company with leading capabilities in digital, cloud and security. Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services and Accenture Song — all powered by the world’s largest network of Advanced Technology and Intelligent Operations centers. Our 732,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create long-lasting value for our clients, people, shareholders, partners and communities.
Job Description
As a Google Knowledge Graph Associate with a data focus at Accenture, you will play a crucial role in enhancing and maintaining the integrity of complex data structures that power search and information retrieval systems. This remote position requires a keen eye for detail, strong analytical skills, and a passion for organizing vast amounts of information. You will be responsible for reviewing, annotating, and validating data, ensuring its accuracy and relevance, and contributing to the continuous improvement of knowledge graph systems. This is a 100% remote position.
Key Responsibilities
- Review, analyze, and annotate data points to enhance the accuracy and comprehensiveness of knowledge graphs.
- Identify and resolve data inconsistencies, errors, and redundancies through meticulous research and validation.
- Contribute to the development and refinement of data labeling guidelines and quality control processes.
- Collaborate with data scientists and engineers to improve data models and information retrieval algorithms.
- Monitor data quality metrics and provide regular reports on data integrity and project progress.
- Stay updated with industry trends and best practices in data management, semantic web, and knowledge representation.
- Participate in training and calibration exercises to maintain high standards of data quality and consistency.
Required Skills
- Proven experience with data analysis, data entry, or data quality assurance (minimum 12 months).
- Strong analytical skills with an ability to interpret complex data sets.
- Excellent attention to detail and meticulous approach to work.
- Proficiency in using productivity tools (e.g., Microsoft Office Suite, Google Workspace).
- Ability to work independently and manage time effectively in a remote environment.
- Strong written and verbal communication skills in English.
- Basic understanding of database concepts or structured data.
Preferred Qualifications
- Bachelor's degree in Library Science, Information Systems, Data Science, Linguistics, or a related field.
- Experience with knowledge graph technologies, semantic web, or linked data.
- Familiarity with data annotation tools or platforms.
- Experience with SQL or other query languages for data extraction and manipulation.
- Understanding of machine learning concepts related to natural language processing (NLP) or information retrieval.
Perks & Benefits
- Comprehensive health, dental, and vision insurance.
- Generous paid time off and holidays.
- 401(k) retirement plan with company match.
- Professional development opportunities and continuous learning programs.
- Employee assistance program.
- Flexible remote work environment.
- Wellness programs and resources.
How to Apply
If you are interested in this position, please click the "Apply Now" button below. To ensure your application is properly considered, please prepare the following:
- An up-to-date Resume or CV
- A brief cover letter summarizing your experience and motivation
Applications are reviewed on a rolling basis. Only shortlisted candidates will be contacted for an interview.
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